Abstract
Plug-in electric vehicle (PEV) charging load represents a large and uncontrollable load that behaves far differently from a conventional load. This paper presents a methodology for evaluating the adequacy of the power capacity of systems that include PEV charging loads. A probabilistic analytical approach has been employed using an IEEE reliability test system. The PEV charging load is modeled based on the National Household Travel Survey and on currently available market data pertaining to PEV type and charging level. Also presented is the effect on the adequacy indices of each PEV load parameter, specifically penetration level, PEV type, and charging level. A further case study was conducted in order to evaluate the impact of the current time-of-use tariff in response to the expected increase in power demand due to the massive deployment of PEVs. The results show that the addition of PEVs significantly affects the generation reliability, and that higher charging levels and PEVs with greater battery capacity create a severe risk to generation reliability. Investigation of solutions that maintain reliability indices is therefore required.
| Original language | English |
|---|---|
| Title of host publication | 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 |
| Publisher | IEEE Computer Society |
| ISBN (Electronic) | 9781509041688 |
| DOIs | |
| State | Published - 10 Nov 2016 |
| Externally published | Yes |
Publication series
| Name | IEEE Power and Energy Society General Meeting |
|---|---|
| Volume | 2016-November |
| ISSN (Print) | 1944-9925 |
| ISSN (Electronic) | 1944-9933 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Capacity adequacy evaluation
- Plug-in electric vehicle
- Probabilistic analytical approach
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Nuclear Energy and Engineering
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
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